v1v2v3v4 (latest)

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

Papers citing "XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks"

50 / 1,731 papers shown

Title
TernaryBERT: Distillation-aware Ultra-low Bit BERT Wei Zhang Lu Hou Yichun Yin Lifeng Shang Xiao Chen Xin Jiang Qun Liu MQ 127 213 0 27 Sep 2020
Searching for Low-Bit Weights in Quantized Neural Networks Zhaohui Yang Yunhe Wang Kai Han Chunjing Xu Chao Xu Dacheng Tao Chang Xu MQ 105 89 0 18 Sep 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks Zhiqiang Shen Marios Savvides 104 64 0 17 Sep 2020
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Weiwen Jiang Runbin Shi Xue Lin Yanzhi Wang MQ 62 7 0 16 Sep 2020
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation Insoo Chung Byeongwook Kim Yoonjung Choi S. Kwon Yongkweon Jeon Baeseong Park Sangha Kim Dongsoo Lee MQ 105 27 0 16 Sep 2020
SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks Baozhou Zhu P. Hofstee Jinho Lee Zaid Al-Ars MQ 41 2 0 11 Sep 2020
Extending Label Smoothing Regularization with Self-Knowledge Distillation Jiyue Wang Pei Zhang Wenjie Pang Jie Li 38 0 0 11 Sep 2020
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework Junjie Liu Dongchao Wen Deyu Wang Wei Tao Tse-Wei Chen Kinya Osa Masami Kato MQ 50 3 0 10 Sep 2020
FleXOR: Trainable Fractional Quantization Dongsoo Lee S. Kwon Byeongwook Kim Yongkweon Jeon Baeseong Park Jeongin Yun MQ 54 13 0 09 Sep 2020
On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective Seonguk Park Kiyoon Yoo Nojun Kwak FedML 75 3 0 09 Sep 2020
Binarized Neural Architecture Search for Efficient Object Recognition Hanlin Chen Lian Zhuo Baochang Zhang Xiawu Zheng Jianzhuang Liu Rongrong Ji David Doermann G. Guo MQ 52 18 0 08 Sep 2020
Alternating Direction Method of Multipliers for Quantization Tianjian Huang Prajwal Singhania Maziar Sanjabi Pabitra Mitra Meisam Razaviyayn MQ 82 11 0 08 Sep 2020
An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR Seyedeh Niusha Alavi Foumani Ce Guo Wayne Luk 48 3 0 06 Sep 2020
Running Neural Networks on the NIC G. Siracusano Salvator Galea D. Sanvito Mohammad Malekzadeh Hamed Haddadi G. Antichi R. Bifulco 48 25 0 04 Sep 2020
ESMFL: Efficient and Secure Models for Federated Learning Sheng Lin Chenghong Wang Hongjia Li Jieren Deng Yanzhi Wang Caiwen Ding FedML 52 5 0 03 Sep 2020
Layer-specific Optimization for Mixed Data Flow with Mixed Precision in FPGA Design for CNN-based Object Detectors Duy-Thanh Nguyen Hyun Kim Hyuk-Jae Lee MQ 46 65 0 03 Sep 2020
Mononizing Binocular Videos Wenbo Hu Menghan Xia Chi-Wing Fu T. Wong 46 27 0 03 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 123 72 0 02 Sep 2020
Defending against substitute model black box adversarial attacks with the 01 loss Yunzhe Xue Meiyan Xie Usman Roshan AAML 45 1 0 01 Sep 2020
Training Deep Neural Networks with Constrained Learning Parameters Prasanna Date C. Carothers J. Mitchell James A. Hendler M. Magdon-Ismail 37 1 0 01 Sep 2020
Scaling Up Deep Neural Network Optimization for Edge Inference Bingqian Lu Jianyi Yang Shaolei Ren 92 4 0 01 Sep 2020
An Integrated Approach to Produce Robust Models with High Efficiency Zhijian Li Bao Wang Jack Xin MQ AAML 77 3 0 31 Aug 2020
Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond Dachao Lin Peiqin Sun Guangzeng Xie Shuchang Zhou Zhihua Zhang MQ 52 2 0 30 Aug 2020
Stochastic Markov Gradient Descent and Training Low-Bit Neural Networks Jonathan Ashbrock A. Powell MQ 87 5 0 25 Aug 2020
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework Haotao Wang Shupeng Gui Haichuan Yang Ji Liu Zhangyang Wang 112 82 0 25 Aug 2020
One Weight Bitwidth to Rule Them All Ting-Wu Chin P. Chuang Vikas Chandra Diana Marculescu MQ 77 25 0 22 Aug 2020
Line-Circle-Square (LCS): A Multilayered Geometric Filter for Edge-Based Detection Seyed Amir Tafrishi Xiaotian Dai Vahid E. Kandjani 73 3 0 21 Aug 2020
Training of mixed-signal optical convolutional neural network with reduced quantization level Joseph Ulseth Zheyuan Zhu Guifang Li Shuo Pang 21 0 0 20 Aug 2020
Towards adversarial robustness with 01 loss neural networks Yunzhe Xue Meiyan Xie Usman Roshan OOD AAML 71 5 0 20 Aug 2020
Channel-wise Hessian Aware trace-Weighted Quantization of Neural Networks Xu Qian Victor Li Darren Crews MQ 51 9 0 19 Aug 2020
WSRNet: Joint Spotting and Recognition of Handwritten Words George Retsinas Giorgos Sfikas Petros Maragos 39 2 0 17 Aug 2020
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks Chengcheng Wan H. Hoffmann Shan Lu Michael Maire OOD 71 11 0 15 Aug 2020
Towards Modality Transferable Visual Information Representation with Optimal Model Compression Rongqun Lin Linwei Zhu Shiqi Wang Sam Kwong 76 2 0 13 Aug 2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network Anh-Huy Phan Konstantin Sobolev Konstantin Sozykin Dmitry Ermilov Julia Gusak P. Tichavský Valeriy Glukhov Ivan Oseledets A. Cichocki BDL 88 132 0 12 Aug 2020
Compression of Deep Learning Models for Text: A Survey Manish Gupta Puneet Agrawal VLM MedIm AI4CE 99 121 0 12 Aug 2020
Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers Manuele Rusci Marco Fariselli Alessandro Capotondi Luca Benini MQ 73 19 0 12 Aug 2020
FATNN: Fast and Accurate Ternary Neural Networks Peng Chen Bohan Zhuang Chunhua Shen MQ 52 15 0 12 Aug 2020
Hardware-Centric AutoML for Mixed-Precision Quantization Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 85 15 0 11 Aug 2020
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models Eunhyeok Park S. Yoo MQ 72 85 0 11 Aug 2020
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks Nitin Rathi Kaushik Roy 142 135 0 09 Aug 2020
Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation Baozhou Zhu Zaid Al-Ars Wei Pan MQ 69 8 0 08 Aug 2020
NASB: Neural Architecture Search for Binary Convolutional Neural Networks Baozhou Zhu Zaid Al-Ars P. Hofstee MQ 67 23 0 08 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap Lingxi Xie Xin Chen Kaifeng Bi Longhui Wei Yuhui Xu ... Lanfei Wang Anxiang Xiao Jianlong Chang Xiaopeng Zhang Qi Tian ViT 104 112 0 04 Aug 2020
Controlling Information Capacity of Binary Neural Network D. Ignatov Andrey D. Ignatov MQ 115 22 0 04 Aug 2020
Growing Efficient Deep Networks by Structured Continuous Sparsification Xin Yuan Pedro H. P. Savarese Michael Maire 3DPC 68 45 0 30 Jul 2020
Optimization of XNOR Convolution for Binary Convolutional Neural Networks on GPU Mete Can Kaya Alperen Inci A. Temi̇zel MQ BDL 26 0 0 28 Jul 2020
WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic Renkun Ni Hong-Min Chu Oscar Castañeda Ping Yeh-Chiang Christoph Studer Tom Goldstein MQ 64 14 0 26 Jul 2020
The Effects of Approximate Multiplication on Convolutional Neural Networks Min Soo Kim A. D. Del Barrio Hyunjin Kim N. Bagherzadeh 43 48 0 20 Jul 2020
MCUNet: Tiny Deep Learning on IoT Devices Ji Lin Wei-Ming Chen Chengyue Wu J. Cohn Chuang Gan Song Han 204 505 0 20 Jul 2020
DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks Hassan Dbouk Hetul Sanghvi M. Mehendale Naresh R Shanbhag MQ 67 9 0 19 Jul 2020